Define data architecture and platform strategy while building scalable pipelines for batch and real-time processing. Lead the design of data infrastructure for production AI/ML systems and mentor junior engineers to maintain high engineering standards.
Robots and Pencils
21 Remote Job Openings at Robots and Pencils
Lead end-to-end delivery of complex AI engagements, managing cross-functional distributed teams from kickoff through release. Serve as the primary client contact to ensure alignment on scope, budget, and quality while identifying growth opportunities.
The Senior QA Engineer will create and execute manual test cases for web and native mobile applications to ensure quality and reliability. They will collaborate with cross-functional teams to define testing strategies and track defects through to resolution.
Lead a geographically aligned engineering organization with accountability for regional P&L and the delivery of AI-forward engineering solutions. Focus on growing technical talent, championing AI-assisted delivery tools, and ensuring high-quality production deployments for clients.
The Product Manager will own product delivery for AI engagements, managing the product backlog and translating business needs into clear requirements. They will facilitate sprint planning and ensure alignment between stakeholder priorities and technical execution.
Build and lead the data practice from the ground up, owning the full P&L and driving revenue growth to $5m in the first year. Act as the senior technical authority for C-suite clients while managing a high-performing team of data consultants and engineers.
Develop and maintain full-stack web applications by building UI components and supporting backend services. Integrate APIs and utilize AI-assisted development tools to improve coding efficiency and delivery speed.
Design, build, and deploy production-grade AI systems, including ML pipelines and agentic workflows. Collaborate with cross-functional teams to operationalize research prototypes and maintain high standards for reliability and performance.
Design and scale production-grade AI systems and architectures that align with business objectives. Lead the full AI development lifecycle, from experimentation and model iteration to secure production deployment and mentorship of engineers.
The Principal Developer will design, program, and test innovative software solutions and products for clients. Responsibilities include building APIs, collaborating with designers, and providing technical insights for project budgeting and scheduling.
The Delivery Manager will keep the pod focused, moving, and accountable while owning the delivery operating model. They will work across teams to maintain momentum, surface blockers, and ensure delivery against priorities.
Lead the design and delivery of enterprise-grade generative and agentic AI systems using AWS-native services. Serve as a strategic technical advisor to clients, translating business needs into scalable, secure, and production-ready AI architectures.
Provide L2 technical support for remote employees across North and Latin America, managing hardware, software, and connectivity issues. Administer Microsoft 365 identity and access, manage device enrollment via MDM, and support various SaaS platforms.
Build and maintain scalable backend services and APIs using Node.js and AWS serverless architectures. Collaborate with cross-functional teams to develop frontend features and optimize system reliability through orchestration and event-driven processes.
Define the technical strategy and architecture for AI/ML systems, leading the implementation from design to production. Collaborate with leadership to shape the AI roadmap and mentor engineering teams to raise organizational standards.
Lead the architectural design and delivery of complex cloud, data, and AI/ML systems for enterprise clients. Serve as the senior technical authority, defining strategy and mentoring engineers to ensure scalable and secure production-ready deployments.
Define data architecture and platform strategy while building scalable pipelines for batch and real-time processing. Lead the design of data infrastructure for production AI/ML systems and mentor junior engineers to maintain high technical standards.
Design, implement, and deploy end-to-end production AI/ML systems including data pipelines and training workflows. Collaborate with cross-functional teams to integrate AI agents into enterprise operations and maintain system reliability and scalability.
Lead the design and delivery of complex, integration-heavy full-stack platforms and AI co-workers. Define front-end architecture, develop scalable back-end systems, and integrate AI services across chat, voice, and web surfaces.
Staff Full Stack Engineer (ServiceNow)
Robots and Pencils
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Full Time
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a month ago
Robots and Pencils
Lead the design and delivery of complex enterprise integration platforms connecting ServiceNow and SharePoint to AWS-backed data pipelines. Architect full-stack applications and integrate AI services like LLMs and RAG patterns into production systems.
Develop and maintain backend services and AI-native platforms using Python, Node.js, and AWS serverless architectures. Collaborate with cross-functional teams to build scalable, integration-heavy platforms and improve system reliability.